Provident Financial Services Inc (PFS) EV to EBITDA (2010 - 2026)
Provident Financial Services' (PFS) EV to EBITDA came in at 2.88 for Q2 2026, up 28.9% from 2.24 a year earlier and up 13.0% from the prior quarter.
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Analysis
Provident Financial Services Inc (PFS) EV to EBITDA (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EV to EBITDA at Provident Financial Services was 2.38, up 68.8% year-over-year; for FY2025, it came in at 2.42, down 31.2% from FY2024.
- In prior years, Provident Financial Services' EV to EBITDA was 3.51 in FY2024 (+20.2%), 2.92 in FY2023 (-37.8%), 4.70 in FY2022 (+12.8%) and 4.17 in FY2021 (-8.3%).
- The Q2 2026 figure stands as the highest quarterly EV to EBITDA since Q4 2024.
- On a year-over-year basis, EV to EBITDA increased in four of the last eight quarters, with growth averaging 5.3%.
- The strongest year-over-year quarter for EV to EBITDA in the past five years was Q3 2021, with growth of 83.1%; the weakest was Q2 2023, with a decline of 47.5%.
- According to Business Quant data, EV to EBITDA for the three prior quarters was 2.55 (Q1 2026), 2.42 (Q4 2025) and 2.70 (Q3 2025).
Peer Set
Peer Comparison
Historic Data
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Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.88 |
| Mar 31, 2026 | 2.55 |
| Dec 31, 2025 | 2.42 |
| Sep 30, 2025 | 2.70 |
| Jun 30, 2025 | 2.24 |
| Mar 31, 2025 | 2.66 |
| Dec 31, 2024 | 3.51 |
| Sep 30, 2024 | 3.98 |
| Jun 30, 2024 | 2.76 |
| Mar 31, 2024 | 2.22 |
| Dec 31, 2023 | 2.92 |
| Sep 30, 2023 | 2.50 |
| Jun 30, 2023 | 2.85 |
| Mar 31, 2023 | 3.72 |
| Dec 31, 2022 | 4.70 |
| Sep 30, 2022 | 4.72 |
| Jun 30, 2022 | 5.42 |
| Mar 31, 2022 | 5.03 |
| Dec 31, 2021 | 4.17 |
| Sep 30, 2021 | 4.65 |
API Access
Provident Financial Services Inc EV to EBITDA API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=ev-to-ebitda&ticker=PFS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebitda", "ticker": "PFS", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=ev-to-ebitda&ticker=PFS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();